Articles | Volume 9, issue 5
https://doi.org/10.5194/amt-9-2425-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-9-2425-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Retrieval algorithm for rainfall mapping from microwave links in a cellular communication network
Hydrology and Quantitative Water Management Group, Wageningen University, P.O. Box 47, 6700 AA, Wageningen, the Netherlands
Royal Netherlands Meteorological Institute (KNMI), P.O. Box 201, 3730 AE, De Bilt, the Netherlands
Hidde Leijnse
Royal Netherlands Meteorological Institute (KNMI), P.O. Box 201, 3730 AE, De Bilt, the Netherlands
Remko Uijlenhoet
Hydrology and Quantitative Water Management Group, Wageningen University, P.O. Box 47, 6700 AA, Wageningen, the Netherlands
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65 citations as recorded by crossref.
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- Use of Operational Microwave Link Measurements for the Tomographic Reconstruction of 2-D Maps of Accumulated Rainfall M. D'Amico et al. 10.1109/LGRS.2016.2614326
- A year of attenuation data from a commercial dual-polarized duplex microwave link with concurrent disdrometer, rain gauge, and weather observations A. Špačková et al. 10.5194/essd-13-4219-2021
- Estimating the Parameters of the Spatial Autocorrelation of Rainfall Fields by Measurements From Commercial Microwave Links A. Eshel et al. 10.1109/TGRS.2022.3165309
- Capitalizing on Cellular Technology—Opportunities and Challenges for Near Ground Weather Monitoring H. Messer 10.3390/environments5070073
- Near Real-Time Estimation of High Spatiotemporal Resolution Rainfall from Cloud Top Properties of the Msg Satellite and Commercial Microwave Link Rainfall Intensities K. Kumah et al. 10.2139/ssrn.4098667
- A Machine Learning Approach for the Classification of Wet and Dry Periods Using Commercial Microwave Link Data E. Kamtchoum et al. 10.1007/s42979-022-01143-8
- Attenuation Correction of Weather Radar Reflectivity with Arbitrary Oriented Microwave Link P. Zhang et al. 10.1155/2017/6124149
63 citations as recorded by crossref.
- Rainfall estimation from a German-wide commercial microwave link network: optimized processing and validation for 1 year of data M. Graf et al. 10.5194/hess-24-2931-2020
- A measurement campaign to assess sources of error in microwave link rainfall estimation T. van Leth et al. 10.5194/amt-11-4645-2018
- Rainfall Monitoring Using a Microwave Links Network: A Long-Term Experiment in East China X. Liu et al. 10.1007/s00376-023-2104-z
- OpenMRG: Open data from Microwave links, Radar, and Gauges for rainfall quantification in Gothenburg, Sweden J. Andersson et al. 10.5194/essd-14-5411-2022
- The MSG Technique: Improving Commercial Microwave Link Rainfall Intensity by Using Rain Area Detection from Meteosat Second Generation K. Kumah et al. 10.3390/rs13163274
- Hydrological response of a peri-urban catchment exploiting conventional and unconventional rainfall observations: the case study of Lambro Catchment G. Cazzaniga et al. 10.5194/hess-26-2093-2022
- Deep Learning for an Improved Prediction of Rainfall Retrievals From Commercial Microwave Links J. Pudashine et al. 10.1029/2019WR026255
- Reconstruction and Nowcasting of Rainfall Field by Oblique Earth-Space Links Network: Preliminary Results from Numerical Simulation M. Xian et al. 10.3390/rs12213598
- Rain Rate Retrieval Test From 25-GHz, 28-GHz, and 38-GHz Millimeter-Wave Link Measurement in Beijing C. Han et al. 10.1109/JSTARS.2019.2918507
- The effect of differences between rainfall measurement techniques on groundwater and discharge simulations in a lowland catchment C. Brauer et al. 10.1002/hyp.10898
- A Review on Rainfall Measurement Based on Commercial Microwave Links in Wireless Cellular Networks B. Lian et al. 10.3390/s22124395
- Dynamic Determination of the Baseline Level in Microwave Links for Rain Monitoring From Minimum Attenuation Values J. Ostrometzky & H. Messer 10.1109/JSTARS.2017.2752902
- Opportunistic remote sensing of rainfall using microwave links from cellular communication networks R. Uijlenhoet et al. 10.1002/wat2.1289
- Earth-to-Earth Microwave Rain Attenuation Measurements: A Survey On the Recent Literature V. Christofilakis et al. 10.3390/sym12091440
- Rainfall Nowcasting Using Commercial Microwave Links R. Imhoff et al. 10.1029/2020GL089365
- Tropical rainfall monitoring with commercial microwave links in Sri Lanka A. Overeem et al. 10.1088/1748-9326/ac0fa6
- Probabilistic Attenuation Nowcasting for the 5G Telecommunication Networks J. Pudashine et al. 10.1109/LAWP.2021.3068393
- Two and a half years of country-wide rainfall maps using radio links from commercial cellular telecommunication networks A. Overeem et al. 10.1002/2016WR019412
- Experimental Study of Detecting Rainfall Using Microwave Links: Classification of Wet and Dry Periods K. Song et al. 10.1109/JSTARS.2020.3021555
- Stochastic Reconstruction and Interpolation of Precipitation Fields Using Combined Information of Commercial Microwave Links and Rain Gauges B. Haese et al. 10.1002/2017WR021015
- Hydrometeorological Monitoring Using Opportunistic Sensing Networks in the Amsterdam Metropolitan Area L. de Vos et al. 10.1175/BAMS-D-19-0091.1
- On the potential of commercial microwave link networks for high spatial resolution rainfall monitoring in urban areas X. Zheng et al. 10.1016/j.atmosres.2022.106289
- Automatic Quality Control of Crowdsourced Rainfall Data With Multiple Noises: A Machine Learning Approach G. Niu et al. 10.1029/2020WR029121
- Rain event detection in commercial microwave link attenuation data using convolutional neural networks J. Polz et al. 10.5194/amt-13-3835-2020
- Rainfall estimation using measurement report data from time-division long term evolution networks D. Liu et al. 10.1016/j.jhydrol.2021.126530
- Comparison of CML Rainfall Data against Rain Gauges and Disdrometers in a Mountainous Environment R. Nebuloni et al. 10.3390/s22093218
- From proof‐of‐concept to proof‐of‐value: Approaching third‐party data to operational workflows of national meteorological services I. Garcia‐Marti et al. 10.1002/joc.7757
- High‐Resolution Simulation Study Exploring the Potential of Radars, Crowdsourced Personal Weather Stations, and Commercial Microwave Links to Monitor Small‐Scale Urban Rainfall L. de Vos et al. 10.1029/2018WR023393
- Transboundary Rainfall Estimation Using Commercial Microwave Links N. Blettner et al. 10.1029/2023EA002869
- Combining MWL and MSG SEVIRI Satellite Signals for Rainfall Detection and Estimation K. Kumah et al. 10.3390/atmos11090884
- Rainfall retrieval using commercial microwave links: Effect of sampling strategy on retrieval accuracy J. Pudashine et al. 10.1016/j.jhydrol.2021.126909
- Combining Commercial Microwave Link and Rain Gauge Observations to Estimate Countrywide Precipitation: A Stochastic Reconstruction and Pattern Analysis Approach N. Blettner et al. 10.1029/2022WR032563
- Improved Gridded Precipitation Data Derived from Microwave Link Attenuation M. Silver et al. 10.3390/rs13152953
- High-Resolution Humidity Observations Based on Commercial Microwave Links (CML) Data—Case of Tel Aviv Metropolitan Area Y. Rubin et al. 10.3390/rs15020345
- Rainfall retrieval with commercial microwave links in São Paulo, Brazil M. Rios Gaona et al. 10.5194/amt-11-4465-2018
- Near real-time estimation of high spatiotemporal resolution rainfall from cloud top properties of the MSG satellite and commercial microwave link rainfall intensities K. Kumah et al. 10.1016/j.atmosres.2022.106357
- Short-term rainfall prediction using MLA based on commercial microwave links of mobile telecommunication networks E. Kamtchoum et al. 10.1007/s42865-022-00047-y
- Using Machine Learning Techniques for Rainfall Estimation Based on Microwave Links of Mobile Telecommunication Networks E. Kamtchoum et al. 10.1007/s42979-022-01458-6
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- Classification of Dry and Wet Periods Using Commercial Microwave Links: A One-Class Classification Machine Learning Approach Based on Autoencoders P. Zhang et al. 10.1109/TGRS.2023.3339682
- Rainfall Estimation Accuracy of a Nationwide Instantaneously Sampling Commercial Microwave Link Network: Error Dependency on Known Characteristics L. de Vos et al. 10.1175/JTECH-D-18-0197.1
- Rainfall Monitoring Based on Next-Generation Millimeter-Wave Backhaul Technologies in a Dense Urban Environment C. Han et al. 10.3390/rs12061045
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- Commercial microwave link networks for rainfall observation: Assessment of the current status and future challenges C. Chwala & H. Kunstmann 10.1002/wat2.1337
- Low complexity single-layer neural network for enhanced rainfall estimation using microwave links A. Daher et al. 10.2166/hydro.2022.099
- Commercial microwave links as a tool for operational rainfall monitoring in Northern Italy G. Roversi et al. 10.5194/amt-13-5779-2020
- Rainfall retrieval algorithm for commercial microwave links: stochastic calibration W. Wolff et al. 10.5194/amt-15-485-2022
- Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions F. Zheng et al. 10.1029/2018RG000616
- On the information in extreme measurements for parameter estimation J. Ostrometzky & H. Messer 10.1016/j.jfranklin.2019.11.039
- Precipitation Monitoring Using Commercial Microwave Links: Current Status, Challenges and Prospectives P. Zhang et al. 10.3390/rs15194821
- Spatial Reconstruction of Rain Fields From Wireless Telecommunication Networks—Scenario-Dependent Analysis of IDW-Based Algorithms A. Eshel et al. 10.1109/LGRS.2019.2935348
- 3-D Tomographic Reconstruction of Rain Field Using Microwave Signals From LEO Satellites: Principle and Simulation Results X. Shen et al. 10.1109/TGRS.2019.2899391
- Application of commercial microwave links (CMLs) attenuation for quantitative estimation of precipitation M. Pasierb et al. 10.1002/met.2218
- Evaluation of Rainfall Products Derived From Satellites and Microwave Links for The Netherlands M. Rios Gaona et al. 10.1109/TGRS.2017.2735439
- A rain estimation model based on microwave signal attenuation measurements in the city of Ioannina, Greece V. Christofilakis et al. 10.1002/met.1932
- Research on the Method of Rainfall Field Retrieval Based on the Combination of Earth–Space Links and Horizontal Microwave Links Y. Zhao et al. 10.3390/rs14092220
- Rainfall measurement using cell phone links: classification of wet and dry periods using geostationary satellites T. van het Schip et al. 10.1080/02626667.2017.1329588
- Use of Operational Microwave Link Measurements for the Tomographic Reconstruction of 2-D Maps of Accumulated Rainfall M. D'Amico et al. 10.1109/LGRS.2016.2614326
- A year of attenuation data from a commercial dual-polarized duplex microwave link with concurrent disdrometer, rain gauge, and weather observations A. Špačková et al. 10.5194/essd-13-4219-2021
- Estimating the Parameters of the Spatial Autocorrelation of Rainfall Fields by Measurements From Commercial Microwave Links A. Eshel et al. 10.1109/TGRS.2022.3165309
- Capitalizing on Cellular Technology—Opportunities and Challenges for Near Ground Weather Monitoring H. Messer 10.3390/environments5070073
- Near Real-Time Estimation of High Spatiotemporal Resolution Rainfall from Cloud Top Properties of the Msg Satellite and Commercial Microwave Link Rainfall Intensities K. Kumah et al. 10.2139/ssrn.4098667
2 citations as recorded by crossref.
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Latest update: 23 Nov 2024
Short summary
Microwave links in commercial cellular communication networks hold a promise for areal rainfall monitoring and could complement rainfall estimates from ground-based weather radars, rain gauges, and satellites. It has been shown that country-wide rainfall maps can be derived from the signal attenuations of microwave links in such a network. Here we give a detailed description of the employed rainfall retrieval algorithm and the corresponding code, which is freely provided at GitHub.
Microwave links in commercial cellular communication networks hold a promise for areal rainfall...